Richmond - 2026-2027 | Sports Data

2026-2027 Team Stats (4 games)

72.5

PPG

69.0

Opp

+3.5

Margin

45.7%

FG%

34.9%

3P%

71.9%

FT%

34.3

RPG

15.5

APG

13.0

TO

68.8

Est. poss./game

66.6

Adj PPG

66.8

Adj Opp PPG

#145

Scoring Rank

Model Outputs

2026-2027

Catalog

Output is shown as model rating with league rank in parentheses when available.

Model	Output	Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. Preseason prior 1107 (returning production + recruiting): last season 1158, returning -20, transfers -31, freshmen +0 More →	1105 (#112)	Preseason prior 1107 (returning production + recruiting): last season 1158, returning -20, transfers -31, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More →	1057 (#112)	HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More →	1056 (#113)	HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More →	+2.3 (#142)	HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More →	+2.2 (#142)	HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.649 (#121)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.8 More →	0.634 (#114)	AdjNet +5.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.4 More →	0.621 (#121)	AdjNet +4.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.6 \| AdjD 66.8 More →	0.544 (#145)	AdjO 66.6 \| AdjD 66.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 \| AdjD 66.8 More →	0.542 (#145)	AdjO 66.5 \| AdjD 66.8
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More →	0.581 (#132)	Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More →	0.581 (#132)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 165 \| GP 4 More →	1073 (#112)	RD 165 \| GP 4
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More →	0.618 (#121)	Chronological component blend with rest and venue.

Rank through the season

League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.

Recency Ensemble Log Adjusted Elo Points Off/Def Recency

2026-2027 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2026-11-02	@	Charlotte 49ers	W	83 - 71
2026-11-06	vs	Princeton Tigers	L	57 - 65
2026-11-08	vs	Rice Owls	L	60 - 73
2026-11-12	vs	Old Dominion Monarchs	W	90 - 67
2026-11-15	vs	William & Mary Tribe	-	Preview
2026-11-19	@	Delaware Blue Hens	-	Preview

2026-2027 Roster

Show Alumni If everyone stayed four years

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.

Player	Pos	GP	MIN	PTS	REB	AST	STL	BLK	TO	FGA	Numbers	PM	PM GP	PM/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
Ally Sweeney	G	4	38.2	18.0	3.0	3.2	0.0	0.0	3.0	13.5	7.8	29	4	7.2	7.6	55.6	52.6	66.7	2.48	65.1	64.8
Aneisha Scott	G	4	36.8	17.0	6.0	4.2	1.5	0.0	1.2	11.0	16.5	27	4	6.8	7.4	40.9	41.7	81.8	1.33	58.1	46.6
Ava Persichetti	G	4	35.5	12.0	3.8	2.2	1.0	0.0	1.5	10.5	7.0	16	4	4.0	4.5	42.9	30.8	80.0	0.53	54.3	52.4
Arisa Ihara	F	4	27.5	8.0	5.8	2.2	0.8	0.5	0.5	8.0	8.8	31	4	7.8	11.2	43.8	0.0	57.1	1.96	45.6	43.8
Josie Fontana	F	4	28.2	6.8	8.2	1.8	1.8	0.8	2.0	7.8	9.5	31	4	7.8	11.0	38.7	27.3	0	2.18	43.5	43.5
Rayne Wright	G	4	14.2	6.0	2.8	0.8	0.2	0.2	1.5	4.5	4.0	0	4	0.0	0.0	50.0	20.0	62.5	-3.53	55.8	52.8
Emma Schoen	G	3	10.7	3.0	0.3	0.3	0.3	0.0	0.3	2.0	1.7	-7	3	-2.3	-8.9	50.0	60.0	0.0	-2.21	65.4	75.0
Kate Schindler	G	2	6.0	2.0	0.0	0.0	0.0	0.0	1.0	0.5	0.5	-5	2	-2.5	-17.3	100.0	0	100.0	-1.2	106.4	100.0
Shaneka Campbell	F	4	11.0	1.0	1.2	0.2	0.2	0.0	0.5	1.2	1.0	-26	4	-6.5	-23.6	40.0	0.0	0	-4.11	40.0	40.0
Bridget Rifenburg	G	2	3.0	0.5	0.0	0.0	0.0	0.0	1.0	0.0	-0.5	-12	2	-6.0	-91.7	0	0	50.0	-1.96	56.8	0
Payton Richard	G	2	2.5	0.5	0.0	0.5	0.0	0.0	0.0	0.5	0.5	-9	2	-4.5	-65.5	0.0	0.0	50.0	-2.68	26.6	0.0
Harriet Ford	F	0	-	0.0	0.0	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hanna Tjernberg	F	0	-	0.0	0.0	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alexandra Vandiver	F	2	2.0	0.0	0.0	0.5	0.0	0.0	0.5	0.0	0.0	-5	2	-2.5	-51.9	0	0	0	-1.06	0	0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG

Alumni in the Pros

Every program's alumni →

Former Richmond players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Richmond game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.

Alumni around the leagues: recent games

Date	Player	League	Team	Opponent	MIN	PTS	REB	AST	Box
2026-04-29	Maggie Doogan	WNBA Preseason	Phoenix Mercury	vs JAPAN	4	0	3	0	Box
2026-04-25	Maggie Doogan	WNBA Preseason	Phoenix Mercury	vs Chicago Sky	8	2	0	0	Box

2026-2027 Shot Zones

234 located field-goal attempts in 4 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Points: who the team's points here most likely come from

Misses: who misses most here

Ally SweeneyAva PersichettiAneisha ScottArisa IharaJosie Fontana

Zone	FGM-FGA	FG%	Pts	Top scorer	Runner-up	Most misses	Runner-up
Restricted area	49-64	76.6	98	Ally Sweeney 24% (24 pts)	Arisa Ihara 22% (22 pts)	Aneisha Scott 53% (8 misses)	Arisa Ihara 13% (2 misses)
Paint (non-RA)	12-46	26.1	24	Josie Fontana 42% (10 pts)	Ally Sweeney 25% (6 pts)	Ally Sweeney 24% (8 misses)	Aneisha Scott 18% (6 misses)
Mid-range left	4-10	40.0	8	Ally Sweeney 50% (4 pts)	Aneisha Scott 25% (2 pts)	Ally Sweeney 33% (2 misses)	Josie Fontana 33% (2 misses)
Mid-range center	5-16	31.2	10	Ally Sweeney 40% (4 pts)	Aneisha Scott 40% (4 pts)	Ally Sweeney 27% (3 misses)	Arisa Ihara 27% (3 misses)
Mid-range right	7-12	58.3	14	Aneisha Scott 43% (6 pts)	Arisa Ihara 29% (4 pts)	Aneisha Scott 60% (3 misses)	Ally Sweeney 20% (1 misses)
Left corner 3	2-7	28.6	6	Ally Sweeney 50% (3 pts)	Ava Persichetti 50% (3 pts)	Arisa Ihara 40% (2 misses)	Ally Sweeney 20% (1 misses)
Right corner 3	3-7	42.9	9	Ava Persichetti 67% (6 pts)	Aneisha Scott 33% (3 pts)	Arisa Ihara 50% (2 misses)	Ava Persichetti 50% (2 misses)
Above-break 3 left	5-28	17.9	15	Aneisha Scott 40% (6 pts)	Ally Sweeney 20% (3 pts)	Ava Persichetti 30% (7 misses)	Josie Fontana 17% (4 misses)
Above-break 3 center	5-12	41.7	15	Ally Sweeney 80% (12 pts)	Josie Fontana 20% (3 pts)	Aneisha Scott 43% (3 misses)	Ava Persichetti 29% (2 misses)
Above-break 3 right	15-32	46.9	45	Ally Sweeney 27% (12 pts)	Ava Persichetti 27% (12 pts)	Ava Persichetti 35% (6 misses)	Ally Sweeney 29% (5 misses)